# data[].attributes.headline
Interest in developing/adding content to the app (by using authoring tool)

# data[].attributes.subject
Interest in developing/adding content to the app (by using authoring tool)

# data[].attributes.headline
The app can be used in different scenarios

# data[].attributes.subject
The app can be used in different scenarios

# data[].attributes.body
App as intro to traditional training

App as continuation of traditional training (easy reference)

App combined with F2F sessions (as we did now)

App used to introduce new staff member to SRL and then connect to mentor

App used by self-organising teams of teachers

# data[].attributes.body
What to recommend schools that actually are already SRL experienced (can they use the app?) + how to differentiate them from schools who 'think' they are highly experienced?

# data[].attributes.headline
Add functionality of sending/noting questions in the app

# data[].attributes.subject
Add functionality of sending/noting questions in the app

# data[].attributes.body
Teachers found it too complicated to save them elsewhere and then post them on facebook having to explain which course it referred to.

# data[].attributes.headline
Make sure teachers find the two sets of self-reflection questions for the more advanced user

# data[].attributes.subject
Make sure teachers find the two sets of self-reflection questions for the more advanced user

# data[].attributes.headline
Better explain that true SRL impact is achieved through conscious and systematic integration in daily practice

# data[].attributes.subject
Better explain that true SRL impact is achieved through conscious and systematic integration in daily practice

# data[].attributes.body
Perhaps emphasizing more the content of the introductory models, so teachers understand that indeed, most teachers already do a few things, but biggest impact is explicit SRL instruction and systematic integration.

# data[].attributes.headline
preface the evaluation report with clear caveats about the limited nature of the data set and danger of extrapolating too far on the basis of it

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preface the evaluation report with clear caveats about the limited nature of the data set and danger of extrapolating too far on the basis of it

# data[].attributes.headline
Ensure trainings model and voice the need for continued app usage/value

# data[].attributes.subject
Ensure trainings model and voice the need for continued app usage/value

# data[].attributes.body
Anonymous Group: The sessions and trainings seemed to voice some form of start/end to the sessions/use (matching with data captured peaks). So in combination with the in-app experience and potential changes to triggers for reflection - when aiming to stimulate continued use and reflection, the training should emphasise these factors as well. See Rays example comment also below.

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It would have been helpful for the schools to somehow have been part of the planning process – they came into the project at a rather late stage, this added to the pressure on the TEs to deliver everything necessary in a relatively short time – session 1 especially

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It would have been helpful for the schools to somehow have been part of the planning process – they came into the project at a rather late stage, this added to the pressure on the TEs to deliver everything necessary in a relatively short time – session 1 especially

# data[].attributes.headline
The face to face sessions were an essential part of the process given the structure of the project’s workplan

# data[].attributes.subject
The face to face sessions were an essential part of the process given the structure of the project’s workplan

# data[].attributes.headline
 Introduce some more demanding content, tasks or reinforcement to enable the teachers to consolidate the new information

# data[].attributes.subject
 Introduce some more demanding content, tasks or reinforcement to enable the teachers to consolidate the new information

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Navigation: Tracker built into the courses to show progress and current position

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Navigation: Tracker built into the courses to show progress and current position

# data[].attributes.headline
There needs to be a more specific pre-school version created and this may also be true for other specific phases

# data[].attributes.subject
There needs to be a more specific pre-school version created and this may also be true for other specific phases

# data[].attributes.headline
It may be necessary to produce both generic advice/materials alongside more specific national exemplars since the contexts of each country are so different. 

# data[].attributes.subject
It may be necessary to produce both generic advice/materials alongside more specific national exemplars since the contexts of each country are so different. 

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Considering including more tips and practical advice (e.g. tip box)

# data[].attributes.subject
Considering including more tips and practical advice (e.g. tip box)

# data[].attributes.headline
We might want to consider the 'cognitive load'

# data[].attributes.subject
We might want to consider the 'cognitive load'

# data[].attributes.body
This type of training was new, the app was new, the FB group was new, the TE platform was new...
--> bit too much? did it distract from learning?

# data[].attributes.headline
Provide some more personalisation options

# data[].attributes.subject
Provide some more personalisation options

# data[].attributes.body
e.g. turn giphy's on/off

e.g. turn personalisation on/off

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Experiment with a different online platform

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Experiment with a different online platform

# data[].attributes.body
Train teachers in using the platform (see Xavier)

E.g. e-twinning

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Add examples to the TE platform (integrate the manual there)

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Add examples to the TE platform (integrate the manual there)

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E.g. TEs would have liked easier access to the qualitative information coming out of it (e.g. SRL definitions)

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 Teachers’ perceptions regarding SRL mostly did not change by following the training

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 Teachers’ perceptions regarding SRL mostly did not change by following the training

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Improve TE manual to increase personalisation of F2F sessions

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Improve TE manual to increase personalisation of F2F sessions

# data[].attributes.body
Train teacher educators in:

–App dynamics

–Using data & platform

–Fostering teacher collaboration and self-regulation

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By allowing and supporting different educational stakeholders to use the app and monitoring platforms, tMAIL offers an innovative solution for mainstreaming future educational practices across Europe

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By allowing and supporting different educational stakeholders to use the app and monitoring platforms, tMAIL offers an innovative solution for mainstreaming future educational practices across Europe

# data[].attributes.body
E.g. Translate content

E.g. Adapt content (e.g. Add regionally/nationally relevant courses on for example SRL policies)

E.g. Training can be guided by teacher educators (and even school-based teachers) of diverse backgrounds (will significantly increase upscaling opportunities)

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Use 'take course' or 'did you use what you learned last' reminders in app to drive more engagement.

# data[].attributes.subject
Use 'take course' or 'did you use what you learned last' reminders in app to drive more engagement.

# data[].attributes.body
To get it used outside of a blended course context...

# data[].attributes.body
Add some sort of reward for completing all or parts of the app based CPD. For example based on Mozilla badges?

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App use was limited to the pilot time... saw peak usage aligned with face 2 face sessions.

# data[].attributes.subject
App use was limited to the pilot time... saw peak usage aligned with face 2 face sessions.

# data[].attributes.headline
some technical issues with the app impeded its use by teachers (varied enormously between teachers)

# data[].attributes.subject
some technical issues with the app impeded its use by teachers (varied enormously between teachers)

# data[].attributes.body
Highlight qualitative and quantitative results of the pilot when doing dissemination

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OK to say integrate more ways to trigger teacher collaboration but what works here? Do we know?

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Make the courses in the app more 'active'.

# data[].attributes.subject
Make the courses in the app more 'active'.

# data[].attributes.body
Ensure that people are not simply flipping pages, ask questions to get them thinking.

# data[].attributes.headline
Linking these results to latest SRL research, the tMAIL project is highly promising for implementing SRL classroom practices on a large scale. 

# data[].attributes.subject
Linking these results to latest SRL research, the tMAIL project is highly promising for implementing SRL classroom practices on a large scale. 

# data[].attributes.body
E.g. Role of school policy (which tMAIL supports)

E.g. Role of teacher SR (which tMAIL targets)

E.g. Importance of conscious SRL promotion rather than unconscious (which tMAIL realizes)

E.g. Increased internal attribution (which tMAIL fosters)

E.g. Role of teacher beliefs (which tMAIL addresses)

# data[].attributes.headline
Reported value is bigger than measured app use.

# data[].attributes.subject
Reported value is bigger than measured app use.

# data[].attributes.body
The value is in the entire project, combining courses in app with the face 2 face sessions and the way it stimulates the teachers to experiment and discuss.

# data[].attributes.headline
tMAIL model has great opportunities for strengthening (SRL) school development

# data[].attributes.subject
tMAIL model has great opportunities for strengthening (SRL) school development

# data[].attributes.body
Entire staff training

Visibility in the school

Common vocabulary/language

Identify current practices and design school policy plan

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Teachers are not used to using social platforms for their personal education

# data[].attributes.subject
Teachers are not used to using social platforms for their personal education

# data[].attributes.body
If you want them to do it you'll need to teach them, get them to trust it, ...

# data[].attributes.headline
Do some localisation in the current language versions such as url's referring to country specific materials and websites. For example curriculum related.

# data[].attributes.subject
Do some localisation in the current language versions such as url's referring to country specific materials and websites. For example curriculum related.

# data[].attributes.body
- Piloting teachers are satisfied with the idea of training using mobile devices
- Piloting teachers have expressed the importance of promoting SRL in their classes, and the contents of the app related to it have been positively evaluated

# data[].attributes.headline
We did not test the remote and individual use of the app (without sessions), but we did learn the following:

# data[].attributes.subject
We did not test the remote and individual use of the app (without sessions), but we did learn the following:

# data[].attributes.body
If to be used remotely, then:

Provide sound online collaboration platform

Encourage and explain more in-app collaboration

Adapt content to regional/national curricula

Add more practical examples

Alternative ways to engage/motivate app user (consider how to deal with drop-outs)

Suggest teachers to form self-organising teams/groups to use the app together

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Some users  would like to see more practical content in the app (e.g. video of actual classroom practice

# data[].attributes.subject
Some users  would like to see more practical content in the app (e.g. video of actual classroom practice

# data[].attributes.headline
The teacher educator does not have to be an expert in the content of the mobile/blended training

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The teacher educator does not have to be an expert in the content of the mobile/blended training

# data[].attributes.body
He should however 1) understand the app dynamics, 2) know how to use the TE platform, 3) know how to foster teacher collaboration and self-regulation

Advantage of TE not being an expert in the topic: be part of the group's learning + activate teachers more (if expert: teachers may more passively wait for advise)

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The application was, on the whole, well received by the teachers in the pilot study who felt that there was a good balance of content and that the app was well designed

# data[].attributes.subject
The application was, on the whole, well received by the teachers in the pilot study who felt that there was a good balance of content and that the app was well designed

# data[].attributes.headline
The tMAIL PD model can be implemented by teachers and teacher educators of diverse backgrounds

# data[].attributes.subject
The tMAIL PD model can be implemented by teachers and teacher educators of diverse backgrounds

# data[].attributes.body
School-based teacher vs external trainer

SRL expert vs non-expert

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Consider including more video examples from actual practitioner, explaining how they used SRL in their context, with real classroom examples

# data[].attributes.subject
Consider including more video examples from actual practitioner, explaining how they used SRL in their context, with real classroom examples

# data[].attributes.headline
Mobile learning through the app should be combined with (F2F) collaboration

# data[].attributes.subject
Mobile learning through the app should be combined with (F2F) collaboration

# data[].attributes.body
App reminder & motivation (peer pressure)

Better understanding, help-seeking

Fostering classroom transfer

Inspire and exchange

Identify both hot and forgotten SRL topics + plan action

Keeping SRL visible

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Teachers report immediate (short term) impact on students' SRL while experimenting with SRL

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Teachers report immediate (short term) impact on students' SRL while experimenting with SRL

# data[].attributes.headline
Teacher learning is not yet translated fully to the classroom. 

# data[].attributes.subject
Teacher learning is not yet translated fully to the classroom. 

# data[].attributes.body
Experimentation vs consolidation

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Integrate more ways to trigger teacher self-regulation

# data[].attributes.subject
Integrate more ways to trigger teacher self-regulation

# data[].attributes.body
Either in the app (more exercises to apply the content to yourself; self-regulating your mobile learning)

Either by training TEs to foster teacher self- and co-regulation

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Integrate more ways to trigger teacher collaboration

# data[].attributes.subject
Integrate more ways to trigger teacher collaboration

# data[].attributes.body
For the advanced user: add more challenges and in-depth knowledge

BUT: make sure teachers process the current content

BUT: make sure teachers find the current 'challenging' content (e.g. 2 lists of questions)

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Carefully consider number of provided examples vs encouraging co-creation of examples

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Carefully consider number of provided examples vs encouraging co-creation of examples

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which leads to better understanding and more sustainable impact

# data[].attributes.body
e.g. "It's been x days since you've taken a course

# data[].attributes.headline
Provide good balance between passive reading and active exercises (challenging/checking understanding)

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Provide good balance between passive reading and active exercises (challenging/checking understanding)

# data[].attributes.headline
Provide good balance between theory and classroom examples

# data[].attributes.subject
Provide good balance between theory and classroom examples

# data[].attributes.body
If possible: nationally/locally relevant

variation in links, materials, tip boxes, videos

subject dependent examples

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Increased awareness and knowledge of SRL complexities

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Increased awareness and knowledge of SRL complexities

# data[].attributes.body
SRL components

SRL language (we now know how to call it)

–Complex interrelationships

–Current SRL practices

–Teachers’ role (internal vs external attribution: less student blaming)

# data[].attributes.body
probably due to high initial SRL interest

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Mobile SRL course (app content) well appreciated by users

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Mobile SRL course (app content) well appreciated by users

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Below you can find conclusions and recommendations derived from the current reports. Please, add, change, nuance any of the items by commenting on them. Then drag them to the appropriate report.

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Add and sort below relevant recommendations. The higher in the list, the more important the recommendation.Please, give them a colour:

Blue: short term implementation

Yellow: mid term implementation

White: long term implementation

# data[].attributes.body
Add and sort below relevant recommendations. The higher in the list, the more important the recommendation. Please, give them a colour:

Blue: short term implementation

Yellow: mid term implementation

White: long term implementation

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Add and sort below relevant conclusions. The higher in the list, the more important the conclusion.

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Add and sort below relevant conclusions. The higher in the list, the more important the conclusion.

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Goal = Increasing teachers’ SRL learning and practices

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Goal 1 = Impact on stakeholders (teacher learning, data-driven and personalised TE, data-driven policy innovation)
Goal 2 = Evaluation of deliverables